Quantifying and reducing uncertainty in life cycle assessment using the Bayesian Monte Carlo method

Science of the Total Environment

Volumn 340, Issue 1-3, 2005, Pages 23-33

  Lo, Shih Chi ^a   Ma, Hwong Wen ^a   Lo, Shang Lien ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Bayesian Monte Carlo simulation; Coefficients of variation; Life cycle assessment; Probabilistic uncertainty analysis

Indexed keywords

CHARACTERIZATION; CLIMATE CHANGE; CORRELATION METHODS; GREENHOUSE EFFECT; LIFE CYCLE; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS; RELIABILITY; UNCERTAIN SYSTEMS;

EMISSION ESTIMATION; INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE (IPCC); LIFE CYCLE ASSESSMENT (LCA);

GAS EMISSIONS;

EMISSION INVENTORY; GREENHOUSE GAS; LIFE CYCLE ANALYSIS; MONTE CARLO ANALYSIS; WASTE TREATMENT;

ARTICLE; BAYES THEOREM; CLIMATE CHANGE; CORRELATION COEFFICIENT; ENVIRONMENTAL IMPACT; GREENHOUSE EFFECT; GREENHOUSE GAS; INTERMETHOD COMPARISON; LIFE CYCLE ASSESSMENT; MONTE CARLO METHOD; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RELIABILITY; WASTE MANAGEMENT;

BAYES THEOREM; ENVIRONMENTAL POLLUTION; MATERIALS TESTING; MONTE CARLO METHOD; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT;

EID: 14844325806     PISSN: 00489697     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2004.08.020     Document Type: Article

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